摘要
耦合了经济与社会子系统,基于2004-2015年我国30个省际面板数据,采用超效率数据包络法(超DEA),对各省市地质灾害社会脆弱性进行了测度,结果发现我国省域地质灾害社会脆弱性存在较大的差异。进而,采用多元回归模型对其影响因素进行计量分析。研究表明城镇化率、产业结构和科技人员投入水平具有负向作用,而人均公园绿地面积和行政机构具有显著的正向作用。同时,由于区域间的异质性,同一影响因素对东、中和西部地区的作用存在一定的差异。
With economic and social sub-systems coupled, we employ Super Efficiency Data Envelopment Analysis （seDEA） to measure the social vulnerability of geo-disasters based on the data of 30 provinces from 2005 to 2015. The results show that there are obvious differences among 30 provinces. And then, muhivariable regression model is applied to calculate its influencing factors with panel data, the results indicate that urbanization rate, industrial structure and the input of science personnel have negative impacts on social vulnerability of geo-disasters, while park green land area per capita and administrative machinery have a positive impact greatly. Meanwhile, the same influencing factor has a different direction on every area for its heterogeneity.
作者
侯俊东
金欢
HOU Jundong JIN Huan
出处
《灾害学》
CSCD
2017年第4期23-29,共7页
Journal of Catastrophology
基金
湖北省自然科学基金一般面上项目(2016CFB503)
中国地质环境监测院项目(0001212016CC60013)
关键词
地质灾害
社会脆弱性
超DEA
多元回归模型
social vulnerability
geo-disasters
seDEA
multivariable regression model
